Nonlinear Characteristics of Neural Signals
arXiv: Neurons and Cognition(2016)
Abstract
The study is devoted to definition of generalized metrical and topological (informational entropy) characteristics of neural signals via their well-known theoretical models. We have shown that time dependence of action potential of neurons is scale invariant. Information and entropy of neural signals have constant values in case of self-similarity and self-affinity.
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